Artificial intelligence systems that look nothing alike on the surface are starting to behave as if they share a common ...

Abstract: The object point clouds acquired by the original LiDAR are inherently sparse and incomplete, resulting in suboptimal single object tracking (SOT) precision for 3D bounding boxes, especially ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

World models are the building blocks to the next era of physical AI -- and a future in which AI is more firmly rooted in our reality.

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...

This video demonstrates how to model rigid objects using springs in a Python physics simulation. We explore how spring forces approximate rigidity, analyze motion and stability, and visualize the ...

Try SAM 3D to create editable 3D models and meshes from images, with manual scale and rotate tools, helping beginners turn ideas into assets ...

For several decades, Boston Dynamics has pioneered the development of advanced robots, including humanoids and four-legged ...

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

Abstract: In this article, we propose an optimization technique for 3-D underwater object modeling from 2-D forward-scan sonar images at known poses. A key contribution, for objects imaged in the ...

SAM 3D Objects is a foundation model that reconstructs full 3D shape geometry, texture, and layout from a single image, excelling in real-world scenarios with occlusion and clutter by using ...